Machine learning-based prediction of toxic metals concentration in an acid mine drainage environment, northern Tunisia

Autor:	Mariem Trifi, Anis Gasmi, Cristina Carbone, Juraj Majzlan, Nesrine Nasri, Mohja Dermech, Abdelkrim Charef, Hamza Elfil
Rok vydání:	2022
Předmět:	Machine Learning Soil Minerals Tunisia Metals Heavy Health Toxicology and Mutagenesis Soil Pollutants Environmental Chemistry General Medicine Acids Pollution Mining Environmental Monitoring
Zdroj:	Environmental Science and Pollution Research. 29:87490-87508
ISSN:	1614-7499 0944-1344
Popis:	In northern Tunisia, Sidi Driss sulfide ore valorization had produced a large waste amount. The long tailings exposure period and in situ minerals interactions produced an acid mine drainage (AMD) which contributed to a strong increase in the mobility and migration of huge heavy metal (HM) quantities to the surrounding soils. In this work, the soil mineral proportions, grain sizes, physicochemical properties, SO
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef67ac6361dca7ffc2a09479d34d3f82 https://doi.org/10.1007/s11356-022-21890-8 Zobrazit plný text záznamu Full text from SpringerLink